Biometrics such as fingerprint, face, gait, iris, voice and signature, recognizes one's identity using his/her physiological or behavioral characteristics. Among these biometric signs, fingerprint has been researched the longest period of time, and shows the most promising future in real-world applications. However, because of the complex distortions among the different impressions of the same finger, fingerprint recognition is still a challenging problem. Computational Algorithms for Fingerprint Recognition presents an entire range of novel computational algorithms for fingerprint recognition. These include feature extraction, indexing, matching, classification, and performance prediction/validation methods, which have been compared with state-of-art algorithms and found to be effective and efficient on real-world data. All the algorithms have been evaluated on NIST-4 database from National Institute of Standards and Technology (NIST). Specific algorithms addressed include: -Learned template based minutiae extraction algorithm, -Triplets of minutiae based fingerprint indexing algorithm, -Genetic algorithm based fingerprint matching algorithm, -Genetic programming based feature learning algorithm for fingerprint classification, -Comparison of classification and indexing based approaches for identification, -Fundamental fingerprint matching performance prediction analysis and its validation. Computational Algorithms for Fingerprint Recognition is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.
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3 of 4 people found the following review helpful:
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Disappointed,
This review is from: Computational Algorithms for Fingerprint Recognition (International Series on Biometrics) (Hardcover)
Yes, there are algorithms here, but they are not only a mishmash, but not very important ones
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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indexing based approach, potential minutiae, special fingerprint database, primitive feature images, best composite operator, different minutiae, biometric signs, query fingerprint, fingerprint indexing, minutiae density, template fingerprint, imposter matchings, minutiae locations, genuine matching, given minutiae, minutiae features, theoretical error rate, corresponding minutiae, learned templates, minutiae extraction, input fingerprint, composite operators, ridge counts, classification based approach, fingerprint classification Key Phrases - Capitalized Phrases (CAPs): (learn more)
Best Fitness, Left Loop, Right Loop, Hamming Distance, Tented Arch New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
indexing based approach, potential minutiae, special fingerprint database, primitive feature images, best composite operator, different minutiae, biometric signs, query fingerprint, fingerprint indexing, minutiae density, template fingerprint, imposter matchings, minutiae locations, genuine matching, given minutiae, minutiae features, theoretical error rate, corresponding minutiae, learned templates, minutiae extraction, input fingerprint, composite operators, ridge counts, classification based approach, fingerprint classification Key Phrases - Capitalized Phrases (CAPs): (learn more)
Best Fitness, Left Loop, Right Loop, Hamming Distance, Tented Arch New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 4
books:
1
book
cites this book:
- Biometrics: Personal Identification in Networked Society by A.K. Jain in Back Matter
- Evolutionary Computation (International Series on Computational Intelligence) by D. Dumitrescu in Back Matter
- Machine Vision by Ramesh Jain in Back Matter
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence by John H. Holland in Back Matter
- Handbook of Multibiometrics (International Series on Biometrics) by Arun A. Ross in Front Matter
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